Introduction to Octave by Sandeep Nagar

Author:Sandeep Nagar
Language: eng
Format: epub
Publisher: Apress, Berkeley, CA

The randp() Function

This function returns a matrix with Poisson distributed random elements with a mean value parameter given by the first argument. For example, if first argument is 1, then random numbers within the Poisson distribution having a mean of 1 are produced.

1 >> randp(1)

2 ans = 2

3 >> randp(1)

4 ans = 0

5 >> randp(1)

6 ans = 0

7 >> randp(1)

8 ans = 2

9 >> randp(1)

10 ans = 0

11 >> randp(1)

12 ans = 1

13 >> randp(1)

14 ans = 3

On the other hand, a matrix can also be produced by giving dimensions of the matrix as other arguments. Arguments can be presented as numbers separated by commas or as an array having a description of dimensions.

1 >> randp(1,2,3) % mean=1, matrix of 2 rows and 3 columns

2 ans =

3

4 1 0 1

5 0 0 1

6

7 >> randp(1,2,3) % repeating the same command and getting a different set of numbers

8 ans =

9

10 1 3 1

11 1 1 2

12

13 >> randp(2,2,3) % mean=2, matrix of 2 rows and 3 columns

14 ans =

15

16 1 3 2

17 2 0 1

18

19 >> randp(2,2,3) % repeating the same command and getting a different set of numbers

20 ans =

21

22 3 0 0

23 2 3 0

24

25 >> randp(20,4,3) % mean=20, matrix of 4 rows and 3 columns

26 ans =

27

28 21 17 22

29 23 21 13

30 17 24 12

31 30 13 13

32

33 >> randp(20,4,3) % repeating the same commands and getting different set of numbers

34 ans =

35

36 25 29 27

37 28 11 20

38 17 22 36

39 21 16 18

40

41 >> randp(20,[4,3]) % Inputting matrix dimensions as an array (4 rows and 3 columns)

42 ans =

43

44 18 18 19

45 29 22 13

46 19 25 24

47 20 18 17

48

49 >> randp(20,[3,4]) %% Inputting matrix dimensions as an array (3 rows and 4 columns)

50 ans =

51

52 19 19 25 28

53 21 17 10 29

54 18 20 19 24

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